Literature DB >> 35594906

Compatibility rules of human enhancer and promoter sequences.

Drew T Bergman1,2, Thouis R Jones1, Vincent Liu3, Judhajeet Ray1, Evelyn Jagoda1, Layla Siraj1,4, Helen Y Kang3,5, Joseph Nasser1, Michael Kane1, Antonio Rios3, Tung H Nguyen1, Sharon R Grossman1, Charles P Fulco1,6, Eric S Lander1,7,8, Jesse M Engreitz9,10,11.   

Abstract

Gene regulation in the human genome is controlled by distal enhancers that activate specific nearby promoters1. A proposed model for this specificity is that promoters have sequence-encoded preferences for certain enhancers, for example, mediated by interacting sets of transcription factors or cofactors2. This 'biochemical compatibility' model has been supported by observations at individual human promoters and by genome-wide measurements in Drosophila3-9. However, the degree to which human enhancers and promoters are intrinsically compatible has not yet been systematically measured, and how their activities combine to control RNA expression remains unclear. Here we design a high-throughput reporter assay called enhancer × promoter self-transcribing active regulatory region sequencing (ExP STARR-seq) and applied it to examine the combinatorial compatibilities of 1,000 enhancer and 1,000 promoter sequences in human K562 cells. We identify simple rules for enhancer-promoter compatibility, whereby most enhancers activate all promoters by similar amounts, and intrinsic enhancer and promoter activities multiplicatively combine to determine RNA output (R2 = 0.82). In addition, two classes of enhancers and promoters show subtle preferential effects. Promoters of housekeeping genes contain built-in activating motifs for factors such as GABPA and YY1, which decrease the responsiveness of promoters to distal enhancers. Promoters of variably expressed genes lack these motifs and show stronger responsiveness to enhancers. Together, this systematic assessment of enhancer-promoter compatibility suggests a multiplicative model tuned by enhancer and promoter class to control gene transcription in the human genome.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35594906      PMCID: PMC9262863          DOI: 10.1038/s41586-022-04877-w

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  54 in total

1.  Enhancer-promoter specificity mediated by DPE or TATA core promoter motifs.

Authors:  J E Butler; J T Kadonaga
Journal:  Genes Dev       Date:  2001-10-01       Impact factor: 11.361

2.  Different core promoters possess distinct regulatory activities in the Drosophila embryo.

Authors:  S Ohtsuki; M Levine; H N Cai
Journal:  Genes Dev       Date:  1998-02-15       Impact factor: 11.361

3.  Transcription reinitiation rate: a special role for the TATA box.

Authors:  D Yean; J Gralla
Journal:  Mol Cell Biol       Date:  1997-07       Impact factor: 4.272

4.  Core promoter specificities of the Sp1 and VP16 transcriptional activation domains.

Authors:  K H Emami; W W Navarre; S T Smale
Journal:  Mol Cell Biol       Date:  1995-11       Impact factor: 4.272

5.  Expression of a beta-globin gene is enhanced by remote SV40 DNA sequences.

Authors:  J Banerji; S Rusconi; W Schaffner
Journal:  Cell       Date:  1981-12       Impact factor: 41.582

6.  A lymphocyte-specific cellular enhancer is located downstream of the joining region in immunoglobulin heavy chain genes.

Authors:  J Banerji; L Olson; W Schaffner
Journal:  Cell       Date:  1983-07       Impact factor: 41.582

7.  Mechanism of synergy between TATA and initiator: synergistic binding of TFIID following a putative TFIIA-induced isomerization.

Authors:  K H Emami; A Jain; S T Smale
Journal:  Genes Dev       Date:  1997-11-15       Impact factor: 11.361

8.  Functional heterogeneity of mammalian TATA-box sequences revealed by interaction with a cell-specific enhancer.

Authors:  F C Wefald; B H Devlin; R S Williams
Journal:  Nature       Date:  1990-03-15       Impact factor: 49.962

Review 9.  In search of the determinants of enhancer-promoter interaction specificity.

Authors:  Joris van Arensbergen; Bas van Steensel; Harmen J Bussemaker
Journal:  Trends Cell Biol       Date:  2014-08-24       Impact factor: 20.808

10.  Enhancer-core-promoter specificity separates developmental and housekeeping gene regulation.

Authors:  Muhammad A Zabidi; Cosmas D Arnold; Katharina Schernhuber; Michaela Pagani; Martina Rath; Olga Frank; Alexander Stark
Journal:  Nature       Date:  2014-12-15       Impact factor: 49.962

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  5 in total

1.  The Cupid shuffle: Do enhancers prefer specific promoters?

Authors:  Hsiao-Lin V Wang; Victor G Corces
Journal:  Mol Cell       Date:  2022-07-07       Impact factor: 19.328

Review 2.  Enhancer-gene specificity in development and disease.

Authors:  Tomás Pachano; Endika Haro; Alvaro Rada-Iglesias
Journal:  Development       Date:  2022-06-10       Impact factor: 6.862

3.  Systematic analysis of intrinsic enhancer-promoter compatibility in the mouse genome.

Authors:  Miguel Martinez-Ara; Federico Comoglio; Joris van Arensbergen; Bas van Steensel
Journal:  Mol Cell       Date:  2022-04-29       Impact factor: 19.328

4.  H3K18 lactylation marks tissue-specific active enhancers.

Authors:  Eva Galle; Chee-Wai Wong; Adhideb Ghosh; Thibaut Desgeorges; Kate Melrose; Laura C Hinte; Daniel Castellano-Castillo; Magdalena Engl; Joao Agostinho de Sousa; Francisco Javier Ruiz-Ojeda; Katrien De Bock; Jonatan R Ruiz; Ferdinand von Meyenn
Journal:  Genome Biol       Date:  2022-10-03       Impact factor: 17.906

5.  Repression and 3D-restructuring resolves regulatory conflicts in evolutionarily rearranged genomes.

Authors:  Alessa R Ringel; Quentin Szabo; Andrea M Chiariello; Konrad Chudzik; Robert Schöpflin; Patricia Rothe; Alexandra L Mattei; Tobias Zehnder; Dermot Harnett; Verena Laupert; Simona Bianco; Sara Hetzel; Juliane Glaser; Mai H Q Phan; Magdalena Schindler; Daniel M Ibrahim; Christina Paliou; Andrea Esposito; Cesar A Prada-Medina; Stefan A Haas; Peter Giere; Martin Vingron; Lars Wittler; Alexander Meissner; Mario Nicodemi; Giacomo Cavalli; Frédéric Bantignies; Stefan Mundlos; Michael I Robson
Journal:  Cell       Date:  2022-09-29       Impact factor: 66.850

  5 in total

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